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Tag Archives: Fast Neutron Source

A team of faculty and graduate students applied a multi-objective genetic algorithm to the design of the Fast Neutron Source for spectrum matching and flux maximization.

The Department of Nuclear Engineering received a grant of $450,000 from the Nuclear Regulatory Commission for faculty development.

Department Head Wes Hines recently spoke on a webinar hosted by ClearPath and Clear Air Task Force (CATF), which featured […]

NE Department Head Wes Hines leads a team researching how artificial intelligence can be used to aid in the design of a complex nuclear system.